fix: replace instances of 127.0.0.1 to localhost (langflow-ai#8536)

* Replace instances of 127.0.0.1 to localhost

* fix some replace-all issues

* fix some replace-all issues

* update starterprojects

* Upgrade uvlock

Author: jordanrfrazier

.devcontainer/README.md

@@ -53,7 +53,7 @@ The service will start, and you will may notice a dialog in the lower right indi
 │ We collect anonymous usage data to improve Langflow.                  │
 │ To opt out, set: DO_NOT_TRACK=true in your environment.               │
 │                                                                       │
-│ 🟢 Open Langflow → http://127.0.0.1:7860                               │
+│ 🟢 Open Langflow → http://localhost:7860                               │
 ╰───────────────────────────────────────────────────────────────────────╯
 ```
 

.env.example

@@ -32,7 +32,7 @@ LANGFLOW_DATABASE_CONNECTION_RETRY=false
 LANGFLOW_LANGCHAIN_CACHE=SQLiteCache
 
 # Server host
-# Example: LANGFLOW_HOST=127.0.0.1
+# Example: LANGFLOW_HOST=localhost
 LANGFLOW_HOST=
 
 # Worker processes

.github/workflows/python_test.yml

@@ -138,10 +138,10 @@ jobs:
         if: steps.check-version.outputs.skipped == 'false'
         run: |
           source new-venv/bin/activate
-          python -m langflow run --host 127.0.0.1 --port 7860 --backend-only &
+          python -m langflow run --host localhost --port 7860 --backend-only &
           SERVER_PID=$!
           # Wait for the server to start
-          timeout 120 bash -c 'until curl -f http://127.0.0.1:7860/api/v1/auto_login; do sleep 5; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
+          timeout 120 bash -c 'until curl -f http://localhost:7860/api/v1/auto_login; do sleep 5; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
           # Terminate the server
           kill $SERVER_PID || (echo "Failed to terminate the server" && exit 1)
           sleep 20 # give the server some time to terminate

.github/workflows/release.yml

@@ -96,10 +96,10 @@ jobs:
           mkdir src/backend/base/dist
           mv dist/*.whl src/backend/base/dist
           uv pip install src/backend/base/dist/*.whl
-          uv run python -m langflow run --host 127.0.0.1 --port 7860 --backend-only &
+          uv run python -m langflow run --host localhost --port 7860 --backend-only &
           SERVER_PID=$!
           # Wait for the server to start
-          timeout 120 bash -c 'until curl -f http://127.0.0.1:7860/api/v1/auto_login; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
+          timeout 120 bash -c 'until curl -f http://localhost:7860/api/v1/auto_login; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
           # Terminate the server
           kill $SERVER_PID || (echo "Failed to terminate the server" && exit 1)
           sleep 20 # give the server some time to terminate
@@ -177,10 +177,10 @@ jobs:
       - name: Test CLI
         run: |
           uv pip install dist/*.whl
-          uv run python -m langflow run --host 127.0.0.1 --port 7860 --backend-only &
+          uv run python -m langflow run --host localhost --port 7860 --backend-only &
           SERVER_PID=$!
           # Wait for the server to start
-          timeout 120 bash -c 'until curl -f http://127.0.0.1:7860/health_check; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
+          timeout 120 bash -c 'until curl -f http://localhost:7860/health_check; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
           # Terminate the server
           kill $SERVER_PID || (echo "Failed to terminate the server" && exit 1)
           sleep 20 # give the server some time to terminate

.github/workflows/release_nightly.yml

@@ -111,10 +111,10 @@ jobs:
           mkdir src/backend/base/dist
           mv dist/*.whl src/backend/base/dist/
           uv pip install src/backend/base/dist/*.whl
-          uv run python -m langflow run --host 127.0.0.1 --port 7860 --backend-only &
+          uv run python -m langflow run --host localhost --port 7860 --backend-only &
           SERVER_PID=$!
           # Wait for the server to start
-          timeout 120 bash -c 'until curl -f http://127.0.0.1:7860/api/v1/auto_login; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
+          timeout 120 bash -c 'until curl -f http://localhost:7860/api/v1/auto_login; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
           # Terminate the server
           kill $SERVER_PID || (echo "Failed to terminate the server" && exit 1)
           sleep 20 # give the server some time to terminate
@@ -188,10 +188,10 @@ jobs:
       - name: Test CLI
         run: |
           uv pip install dist/*.whl
-          uv run python -m langflow run --host 127.0.0.1 --port 7860 --backend-only &
+          uv run python -m langflow run --host localhost --port 7860 --backend-only &
           SERVER_PID=$!
           # Wait for the server to start
-          timeout 120 bash -c 'until curl -f http://127.0.0.1:7860/health_check; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
+          timeout 120 bash -c 'until curl -f http://localhost:7860/health_check; do sleep 2; done' || (echo "Server did not start in time" && kill $SERVER_PID && exit 1)
           # Terminate the server
           kill $SERVER_PID || (echo "Failed to terminate the server" && exit 1)
           sleep 20 # give the server some time to terminate

DEVELOPMENT.md

@@ -77,7 +77,7 @@ Once the application is running, the command output should look similar to:
 │ We collect anonymous usage data to improve Langflow.                  │
 │ To opt out, set: DO_NOT_TRACK=true in your environment.               │
 │                                                                       │
-│ 🟢 Open Langflow → http://127.0.0.1:7860                               │
+│ 🟢 Open Langflow → http://localhost:7860                               │
 ╰───────────────────────────────────────────────────────────────────────╯
 ```
 

docs/docs/API-Reference/api-reference-api-examples.md

@@ -9,7 +9,7 @@ import TabItem from '@theme/TabItem';
 This page provides examples and practices for managing Langflow using the Langflow API.
 
 The Langflow API's OpenAPI spec can be viewed and tested at your Langflow deployment's `docs` endpoint.
-For example, `http://127.0.0.1:7860/docs`.
+For example, `http://localhost:7860/docs`.
 
 ## Export values
 
@@ -18,10 +18,10 @@ You might find it helpful to set the following environment variables in your ter
 The examples in this guide use environment variables for these values.
 
 - Export your Langflow URL in your terminal.
-  Langflow starts by default at `http://127.0.0.1:7860`.
+  Langflow starts by default at `http://localhost:7860`.
 
 ```bash
-export LANGFLOW_URL="http://127.0.0.1:7860"
+export LANGFLOW_URL="http://localhost:7860"
 ```
 
 - Export the `flow-id` in your terminal.

docs/docs/Components/components-data.md

@@ -268,7 +268,7 @@ When a **Webhook** component is added to the workspace, a new **Webhook cURL** t
 
 ```bash
 curl -X POST \
-  "http://127.0.0.1:7860/api/v1/webhook/**YOUR_FLOW_ID**" \
+  "http://localhost:7860/api/v1/webhook/**YOUR_FLOW_ID**" \
   -H 'Content-Type: application/json'\
   -d '{"any": "data"}'
   ```

docs/docs/Components/components-embedding-models.md

@@ -420,7 +420,7 @@ For a list of Ollama embeddings models, see the [Ollama documentation](https://o
 To use this component in a flow, connect Langflow to your locally running Ollama server and select an embeddings model.
 
 1. In the Ollama component, in the **Ollama Base URL** field, enter the address for your locally running Ollama server.
-This value is set as the `OLLAMA_HOST` environment variable in Ollama. The default base URL is `http://127.0.0.1:11434`.
+This value is set as the `OLLAMA_HOST` environment variable in Ollama. The default base URL is `http://localhost:11434`.
 2. To refresh the server's list of models, click <Icon name="RefreshCw" aria-label="Refresh"/>.
 3. In the **Ollama Model** field, select an embeddings model. This example uses `all-minilm:latest`.
 4. Connect the **Ollama** embeddings component to a flow.

docs/docs/Components/components-io.md

@@ -211,7 +211,7 @@ To send the same example messages programmatically to your Langflow server, do t
 It looks similar to this:
 ```text
 curl --request POST \
-  --url 'http://127.0.0.1:7860/api/v1/run/51eed711-4530-4fdc-9bce-5db4351cc73a?stream=false' \
+  --url 'http://localhost:7860/api/v1/run/51eed711-4530-4fdc-9bce-5db4351cc73a?stream=false' \
   --header 'Content-Type: application/json' \
   --data '{
   "input_value": "What's the recommended way to install Docker on Mac M1?",
@@ -226,7 +226,7 @@ Note the `output_type` and `input_type` parameters that are passed with the mess
 4. Add a custom `session_id` to the message's `data` object.
 ```text
 curl --request POST \
-  --url 'http://127.0.0.1:7860/api/v1/run/51eed711-4530-4fdc-9bce-5db4351cc73a?stream=false' \
+  --url 'http://localhost:7860/api/v1/run/51eed711-4530-4fdc-9bce-5db4351cc73a?stream=false' \
   --header 'Content-Type: application/json' \
   --data '{
   "input_value": "Whats the recommended way to install Docker on Mac M1",
@@ -246,7 +246,7 @@ A new chat session called `docker-question-on-m1` has appeared, using your uniqu
 For example, disabling storing messages from the **Chat Input** component adds a **Tweak** to your command:
 ```text
 curl --request POST \
-  --url 'http://127.0.0.1:7860/api/v1/run/51eed711-4530-4fdc-9bce-5db4351cc73a?stream=false' \
+  --url 'http://localhost:7860/api/v1/run/51eed711-4530-4fdc-9bce-5db4351cc73a?stream=false' \
   --header 'Content-Type: application/json' \
   --data '{
   "input_value": "Text to input to the flow",